Compute Library
 22.05
StridedSlice.cpp
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24 #include "arm_compute/core/Types.h"
28 
29 #include "tests/NEON/Accessor.h"
31 #include "tests/datasets/SliceOperationsDataset.h"
33 #include "tests/framework/Macros.h"
36 #include "tests/validation/fixtures/SliceOperationsFixtures.h"
37 
38 namespace arm_compute
39 {
40 namespace test
41 {
42 namespace validation
43 {
44 TEST_SUITE(NEON)
45 TEST_SUITE(StridedSlice)
46 
47 // *INDENT-OFF*
48 // clang-format off
50  framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 3U, 2U, 5U, 3U), 1, DataType::F32), // Invalid input shape
51  TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), // Zero stride
52  TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), // Big number of coordinates
53  TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), // Invalid Coords/Strides
54  TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32)
55  }),
56  framework::dataset::make("Starts", { Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0) })),
57  framework::dataset::make("Ends", { Coordinates(13, 3, 0), Coordinates(13, 3, 1), Coordinates(13, 3, 1, 1), Coordinates(13, -1, 1), Coordinates(13, 3, 1) })),
58  framework::dataset::make("Strides", { BiStrides(2, 1, 1), BiStrides(2, 0, 1), BiStrides(2, 1, 1), BiStrides(2, -1, 1), BiStrides(2, 1, 1) })),
59  framework::dataset::make("Expected", { false, false, false, false, true })),
60  input_info, starts, ends, strides, expected)
61 {
62  TensorInfo output_info;
63  ARM_COMPUTE_EXPECT(bool(NEStridedSlice::validate(&input_info.clone()->set_is_resizable(false), &output_info, starts, ends, strides)) == expected, framework::LogLevel::ERRORS);
64 }
65 // clang-format on
66 // *INDENT-ON*
67 
68 template <typename T>
69 using NEStridedSliceFixture = StridedSliceFixture<Tensor, Accessor, NEStridedSlice, T>;
70 
71 TEST_SUITE(Float)
72 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
73 TEST_SUITE(FP16)
74 FIXTURE_DATA_TEST_CASE(RunSmall,
77  combine(datasets::SmallStridedSliceDataset(), framework::dataset::make("DataType", DataType::F16)))
78 {
79  // Validate output
80  validate(Accessor(_target), _reference);
81 }
82 
83 FIXTURE_DATA_TEST_CASE(RunLarge,
86  combine(datasets::LargeStridedSliceDataset(), framework::dataset::make("DataType", DataType::F16)))
87 {
88  // Validate output
89  validate(Accessor(_target), _reference);
90 }
91 TEST_SUITE_END() // FP16
92 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
93 
94 TEST_SUITE(FP32)
96  NEStridedSliceFixture<float>,
97  framework::DatasetMode::PRECOMMIT,
98  combine(datasets::SmallStridedSliceDataset(), framework::dataset::make("DataType", DataType::F32)))
99 {
100  // Validate output
101  validate(Accessor(_target), _reference);
102 }
103 
107  combine(datasets::LargeStridedSliceDataset(), framework::dataset::make("DataType", DataType::F32)))
108 {
109  // Validate output
110  validate(Accessor(_target), _reference);
111 }
112 TEST_SUITE_END() // FP32
113 TEST_SUITE_END() // Float
114 
115 TEST_SUITE_END() // StridedSlice
116 TEST_SUITE_END() // Neon
117 
118 } // namespace validation
119 } // namespace test
120 } // namespace arm_compute
StridedSliceFixture< Tensor, Accessor, NEStridedSlice, T > NEStridedSliceFixture
1 channel, 1 F32 per channel
ARM_COMPUTE_EXPECT(has_error==expected, framework::LogLevel::ERRORS)
Coordinates BiStrides
Bidirectional strides.
Definition: Types.h:53
std::enable_if< is_container< T >::value, ContainerDataset< T > >::type make(std::string name, T &&values)
Helper function to create a ContainerDataset.
Copyright (c) 2017-2022 Arm Limited.
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Coordinates &starts, const Coordinates &ends, const BiStrides &strides, int32_t begin_mask=0, int32_t end_mask=0, int32_t shrink_axis_mask=0)
Static function to check if given info will lead to a valid configuration of NEStridedSlice.
1 channel, 1 F16 per channel
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f/32768.f, 0)), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f/32768.f, 0)), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f/32768.f, 0)), })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::SQRT), })), framework::dataset::make("Expected", { false, true, true, true, false, false, true, true, false })), input_info, output_info, act_info, expected)
Accessor implementation for Tensor objects.
Definition: Accessor.h:35
DatasetMode
Possible dataset modes.
Definition: DatasetModes.h:40
TEST_SUITE_END() FIXTURE_DATA_TEST_CASE(RunSmall
[CLActivationLayer Test snippet]
validate(CLAccessor(output_state), expected_output)
FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsLayerFixture< half >, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16)))
Definition: AbsLayer.cpp:50
zip(zip(framework::dataset::make("Weights", { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 1U), 1, DataType::F32), }), framework::dataset::make("MVBGInfo",{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(5U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, false, false}))
TEST_SUITE(QASYMM8_to_F32) FIXTURE_DATA_TEST_CASE(RunSmall
DataType
Available data types.
Definition: Types.h:79
combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)))
Definition: AbsLayer.cpp:65